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A study on the relationship between the intelligibility and quality of algorithmically-modified speech for normal hearing listeners

Tang, Y; Arnold, C; Cox, TJ

A study on the relationship between the intelligibility and quality of algorithmically-modified speech for normal hearing listeners Thumbnail


Authors

Y Tang

C Arnold



Abstract

This study investigates the relationship between the intelligibility and quality of modified speech in noise and in quiet. Speech signals were processed by seven algorithms designed to increase speech intelligibility in noise without altering speech intensity. In three noise maskers, including both stationary and fluctuating noise at two signal-to-noise ratios (SNR), listeners identified keywords from unmodified or modified sentences. The intelligibility performance of each type of speech was measured as the listeners’ word recognition rate in each condition, while the quality was rated as a mean opinion score. In quiet, only the perceptual quality of each type of speech was assessed. The results suggest that when listening in noise, modification performance on improving intelligibility is more important than its potential negative impact on speech quality. However, when listening in quiet or at SNRs in which intelligibility is no longer an issue to listeners, the impact to speech quality due to modification becomes a concern.

Citation

Tang, Y., Arnold, C., & Cox, T. (2017). A study on the relationship between the intelligibility and quality of algorithmically-modified speech for normal hearing listeners. Journal of Otorhinolaryngology, Hearing and Balance Medicine, 1(1), https://doi.org/10.3390/ohbm1010005

Journal Article Type Article
Acceptance Date Dec 7, 2017
Publication Date Dec 8, 2017
Deposit Date Dec 8, 2017
Publicly Available Date Dec 8, 2017
Journal Journal of Otorhinolaryngology, Hearing and Balance Medicine
Publisher MDPI
Volume 1
Issue 1
DOI https://doi.org/10.3390/ohbm1010005
Publisher URL http://dx.doi.org/10.3390/ohbm1010005
Related Public URLs http://www.mdpi.com/journal/ohbm

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